| 1. |
- Alt Murphy, Margit, 1970, et al.
(author)
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An upper body garment with integrated sensors for people with neurological disorders – early development and evaluation
- 2019
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In: BMC Biomedical Engineering. - : Springer Science and Business Media LLC. - 2524-4426. ; 1:3
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Journal article (peer-reviewed)abstract
- Background: To develop a novel wearable garment with integrated sensors for continuous monitoring of physiological and movement related variables to evaluate progression, tailor treatments and improve diagnosis in epilepsy, Parkinson’s disease and stroke. Methods: An iterative development process and evaluation of an upper body garment with integrated sensors included: identification of user needs, specification of technical and garment requirements, garment development and production as well as evaluation of garment design, functionality and usability. The project is a multidisciplinary collaboration with experts from medical, engineering, textile, and material science within the wearITmed consortium. The work was organized in regular meetings, task groups and hands-on workshops. User needs were identified using results from a mixed-methods systematic review, a focus group study and expert groups. Usability was evaluated in 19 individuals (13 controls, 6 patients with Parkinson’s disease) using semi-structured interviews and qualitative content analysis. Results: A prototype designed to monitor movements and heart rate was developed. The garment was well accepted by the users regarding design and comfort, although the users were cautious about the technology and suggested improvements. All electronic components passed a washability test. The most robust data was obtained from accelerometer and gyroscope sensors while the electrodes for heart rate registration were sensitive to motion. artefacts. The algorithm development within the wearITmed consortium has shown promising results. Conclusions: The prototype was accepted by the users. Technical improvements are needed, but preliminary data indicate that the garment has potential to be used as a tool for diagnosis and treatment selection and could provide added value for monitoring seizures in epilepsy, fluctuations in PD and activity levels in stroke. Future work aims to improve the prototype further, develop algorithms, and evaluate the functionality and usability in targeted patient groups. The potential of incorporating blood pressure and heart-rate variability monitoring will also be explored.
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| 2. |
- Hernández, Niina
(author)
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A Systematic Model for Improving Theoretical Garment Fit
- 2018
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In: Journal of Fashion Marketing and Management. - : Emerald Group Publishing Limited. - 1361-2026. ; 22:4, s. 527-539
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Journal article (peer-reviewed)abstract
- PurposeThe purpose of this paper is to use a systematic model for detecting misfit between the garment and the target group.Design/methodology/approachUsing an empirical–analytical methodology, the systematic model was tested. The input data were run through the model to generate the output data, which were analysed, including basic statistics. The purpose of the analysis was to detect misfit and improve the garment measurement chart. This procedure was repeated until a clear result was reached.FindingsThe result of this study is an optimised garment measurement chart, which considers the garment’s ease, different sizes/proportions in relation to a target group. The results show that it is possible to use a systematic model to define the shortcomings of a garment´s range of sizes and proportions.Research limitations/implicationsFurther studies are needed to verify the results of the theoretical garment fit and their values in relation to real garment fit.Practical implicationsIf the systematic model is implemented to improve the theoretical garment fit, this may have effects on the available garment sizes and its proportions, resulting in increased theoretical garment fit for the target group.Originality/valueThe paper presents a systematic model for detecting and eliminating theoretical fitting; the model includes both garment ease allowance and defined points of misfit.
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| 3. |
- Hernández, Niina, et al.
(author)
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Can Virtually Trying on Apparel Help in Selecting the Correct Size?
- 2019
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In: Clothing & Textiles Research Journal. - : Sage Publications. - 0887-302X .- 1940-2473.
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Journal article (peer-reviewed)abstract
- Close to 30% of garments bought online are returned, often due to issues of fit. These issues often relate to size selection, which is challenging without physically trying on a garment. Alternative methods need to be explored to select the best size in lieu of physically trying apparel on. To address this issue, we compare the size selections based on primary measurements and size charts, virtual garments, and real garments. A cross-sectional quantitative survey was carried out in an experimental setting. The participants (36, predominantly White females, aged 21–56) made size selections and evaluations based on virtual and real blouses and trousers. Selecting the size based on virtual garments is more accurate than size selection based on primary measurements and size charts, scoring 57% and 42%, respectively. Further research should be used to improve the virtual fitting room, with benefits such as fewer returns and more satisfied customers.
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| 4. |
- Hernández, Niina
(author)
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Does it really fit? : improve, find and evaluate garment fit
- 2018
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Doctoral thesis (other academic/artistic)abstract
- Clothes affect everyone; we wear them for all occasions; they silently communicate on our behalf, and they can enhance our level of confidence and comfort. For the garment to be comfortable, the garment fit has to be appropriate. Appropriate for the intended function and in line with the wearer’s preferences. For the garment to end up as an approved garment in the customer’s wardrobe, it has to be improved and evaluated many times over. The final evaluation to pass is when the customer finds the garment, tries it on and asks: Does it really fit? The common denominator for the studies included in this thesis is garment fit; the goal is to investigate some methods to improve, find and evaluate garment fit. To improve garment fit, two studies were done. One study is on improving garment fit with the help of a systematic model, based on anthropometric and garment numerical data; this is explored with the help of an experimental set up. The second study is on improving garment fit for the unique figure by offering made-to-measure garments, which is investigated with a structure of action research. An experimental strategy is used to find garments that fit, where the size and fit correspondence is compared between virtual and real garments. To tie everything together, variables for garment fit evaluation are identified with the help of a structured literature review and then analysed within each study. The result shows that the theoretical garment fit improves by using the systematic model. Both the overall accommodation for the target group increased as well as the fit value. The garment fit is improved for the unique figure; this is achieved through complex body measurements, invasive pattern modifications and garment make-up for fit evaluation. The accuracy for size selection based on virtual garments exceeded the one based on the more traditional key measurements. The variables involved in the garment fit evaluation can be divided into five areas: influencing factors, evaluations focus, resources, evaluators or fitting sessions.
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| 5. |
- Hernández, Niina, et al.
(author)
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Garment fit by numbers : Statistical identification of a garment's misfit
- 2014
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Conference paper (peer-reviewed)abstract
- A challenge for manufacturers of garments is to decide which sizes to make available for a potential target group. Mismatches between the garment’s sizes/proportions and a target group will decrease its fit and increase loss of sales. The purpose of this study is to develop a systematic model to identify and optimize the distribution of a garment’s sizes and proportions in order to provide a target group appropriate fit. This study is based on sample-garment measurements, experienced-based values and data containing body measurements of 2208 individuals. Statistical data from the case were analysed to find a model to detect mismatches between standard garments and a target group. The results show that it is possible to use a systematic model to define the shortcomings of a garment´s range of sizes and proportions. If implemented, this could have effects on the available garment sizes and its proportions, resulting an increased garment fit for a target group.
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| 6. |
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| 7. |
- Hernández, Niina
(author)
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Tailoring the Unique Figure
- 2000
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Licentiate thesis (other academic/artistic)abstract
- Today, it is possible to offer customers a garment to order according to their desires and body figure. The new, more automatic, equipment and software make the process faster and possible to realise. However it is important to have the basic knowledge about how to adapt the patterns according to the many variations of figures that exists. Pattern construction for unique figures is covered in this study. The report begins with a background to the problem concerning finding suitable garments, followed by earlier initiatives. The main body of the study contains three main sections: body figure registration – including measurements, single pattern adaptations, and individual patterns.
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| 8. |
- Karlsson, Helene, et al.
(author)
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Quality assurance of encapsulation architecture, including subsequent washing process for permanently mounted wearable sensors
- 2018
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In: 2018 IMAPS Nordic Conference on Microelectronics Packaging (NordPac). - 9789526815053 ; , s. 14-23
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Conference paper (peer-reviewed)abstract
- The overall objective of the project wearITmed, Wearable sensors in smart textiles, is to develop a novel wearable sensor system demonstrator. This sensor system aims to monitor symptoms of neurological disorders such as epilepsy, Parkinson’s disease and stroke. The wearable sensor system demonstrator, including both integrated gyros/accelerometers and textile sensors, is useful for the evaluation of clinically relevant movement patterns and other physiological parameters, and further to establish disease discriminating and treatment responsive objective variables. The work presented in this paper is focused on ensuring that the wearable sensor system can be cleaned and washed without first removing the electronics. The work includes three main areas; the adhesion and architecture, the molding and finally the washing test performance. Standard wettability and peel tests (Volvo Standard STD 185–0001) were performed on standard test board IPC-B-5 and IPC-9202 test vehicle for selecting the best adhesive and encapsulation materials in form of an epoxy (Epotek 302–3M) and a medical approved silicone (Nusil MED-6019). The molded components were washtested (Standard SS-EN ISO 6330:2012) followed by testing of the electrical resistance (Standard IPC-9202). As a result a total of 22 garments were produced with four individually mounted boards in each garment. The tests showed that the wearable sensors passed the washing tests and were still functional after 10 repeated washing cycles without any change or degradation in resistance or sign of electrical failure. The wearable electronics therefore meets the requirements of being simultaneously resistant to; water, temperature (40 °C), chemical detergents and dynamic forces.
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| 9. |
- Kumar, Vijay, 1989-, et al.
(author)
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Deep learning based system for garment visual degradation prediction for longevity
- 2023
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In: Computers in industry (Print). - : Elsevier BV. - 0166-3615 .- 1872-6194. ; 144
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Journal article (peer-reviewed)abstract
- Prolonging garment longevity is a well-recognized key strategy to reduce the overall environmental impact in the textile and clothing sector. In this context, change or degradation in esthetic or visual appeal of a garment with usage is an important factor that largely influence its longevity. Therefore, to engineer the garments for a required lifetime or prolong longevity, there is a need for predictive systems that can forecast the trajectory of visual degradation based on material/structural parameters or use conditions that can guide the practitioners for an optimal design. This paper develops a deep learning based predictive system for washing-induced visual change or degradation of selected garment areas. The study follows a systematic experimental design to generate and capture visual degradation in garment and equivalent fabric samples through 70 cycles in a controlled environment following guideline from relevant washing standards. Further, the generated data is utilized to train conditional Generative Adversarial Network-based deep learning model that learns the degradation pattern and links it to washing cycles and other seam properties. In addition, the predicted results are compared with experimental data using Frechet Inception Distance, to ascertain that the system prediction are visually similar to the experimental data and the prediction quality improves with training process.
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| 10. |
- Larsson, Jonas Larsson, 1981-, et al.
(author)
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From Roll to Bag : D5.2 Final Product Construction Report
- 2016
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Reports (other academic/artistic)abstract
- This is the final product construction report for the From Roll to Bag project. The purpose of this report is to present the implementation of the new pattern technology to selected products and to present the modularity for consumer selection. For fulfilling the tasks (5.1 and 5.2) two garments where chosen, one jacket and one shirt, and customization options regarding fit, model, colour and function were developed for each of them. This includes implementation of novel pattern technology to products, graphics, a product architecture with customisation options and initial production tests to verify perfect fit in production and later in use. The more challenging part was to guarantee manufacturability as the patterns require automated manufacturing equipment due to their detailed construction and the pattern matching. Such equipment includes a cutter with a scanner that identifies the outline of the printed pattern and cuts accoringly. If garments with less detailed graphics are considered for production, pre-dyed fabrics can be used and that requires less investments in manufacturing equipment. Such set up would miss one point of the project but in the tradeoff between investment cost and product price point it may be a viable solution. The garments and customization modules are also fit for production but in order to achieve a detailed production evaluation with exact production times and material consumption a long run of products is needed. Considerations about customer’s experiences in this type value chains are also discussed.
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